Non-destructive location technology of concealed power facilities based on a two-step detection method

In the process of using ground penetrating radar (GPR) to locate concealed power facilities such as underground cables, it is difficult to search the hyperbola generated by concealed facilities. To solve this problem, this paper proposes a two-step detection method to detect and locate the concealed facilities. First, the original echo image is pre-processed to enhance the weak signal and provide high-quality image for hyperbolic detection. And then, the first step of the two-step detection method is performed to extract the possible hyperbolic region. In this part, threshold processing method is used to reduce the clutter interference in the image, and the possible hyperbolic regions are detected and extracted based on the hyperbolic south open feature. In the second step, the trained faster Region-based Convolutional Neural Networks (faster-RCNN) is used to identify the extracted region, so as to obtain the position information of all hyperbolas in the echo image. By combining the hyperbolic detection results with the design drawings, the location of underground concealed facilities can be obtained. The proposed method is tested on the measured data, the experimental results show that the proposed method can accurately locate hyperbola from GPR data.